198 / FIELDS OF INSTRUCTION


 Prerequisite: ISE 557. Analog computer techniques to study complex systems.
 Analog computer logic as an additional tool in problem solving. Boundary value
 problems and dynamic parameter optimization techniques.
 ISE 658-ANALOG-HYBRID SYSTEMS. 3 credits
 Prerequisite: ISE 657. Hybrid computer systems, both hardware and software.
 Sampling theory, quantizing theory, and error analysis. Hybrid computer techniques
 for solving partial differential equations and optimization problems. Examples of
 adaptive control systems.
 ISE 659-ADVANCED HYBRID COMPUTER TECHNIQUES. 3 credits
 Prerequisite: ISE 557. Hybrid computer techniques superior to digital or analog
 techniques. Boundary value, dynamic parameter optimization, fluid network simula-
 tion, optimal control and techniques such as random search, steepest ascent, gradient
 methods, dynamic programming, and the maximum principle.
 ISE 660-STATISTICAL QUALITY CONTROL. 3 credits
 Prerequisites: STA 442 or 607; ISE 571. Theoretical basis for control charts on
 variables and attributes data. Cumulative Sum Control Charts. Mathematics of
 sampling plans for attributes and variables. Bayesian decision rules. Evolutionary
 operation.
 ISE 661-STATISTICAL FORECASTING MODELS. 3 credits
 Prerequisites: ISE 401, STA 442. Classification of models for forecasting. Poly-
 nomial and autoregressive models. Estimation of model parameters. Analysis of
 industrial data.
 ISE 662-RELIABILITY THEORY. 3 credits
 Prerequisites: Matrix theory, STA 442, ISE 562. Reliability models as a function
 of system configurations. Reliability prediction for various underlying component
 failure laws. Sensitivity analysis. Models of interdependent systems.
 ISE 670-MATHEMATICAL METHODS OF OPERATIONS RESEARCH 1. 3 credits
 Prerequisites: Matrix theory, transform theory, probability theory. Topics covered
 include theory of queues, classical optimization, and linear programming.
 ISE 671-MATHEMATICAL METHODS OF OPERATIONS RESEARCH 2. 3 credits
 Prerequisite: ISE 670. Continuation of ISE 670. Dynamic programming, non-
 linear programming, the maximum principles, game theory, and decision theory.
 ISE 680-QUEUING THEORY. 3 credits
 Prerequisites: Matrix theory, transform theory, STA 660. Classification of
queuing systems and waiting line problems. Model formulation. Analysis of selected
systems. Applications to engineering systems.
ISE 681-STOCHASTIC SERVICE SYSTEMS. 3 credits
 Prerequisite: ISE 670. Modeling of large-scale engineering systems. Input-
output analysis. Methods of handling uncertainty. Optimum design.
ISE 684-SYSTEMS ANALYSIS 1. 3 credits
 Prerequisites: ISE 402, STA 440, EE 474. Review of linear systems. State variable
methods for system analysis. Techniques of modeling. Computer methods. Applica-
tion to control problems.
ISE 685-SYSTEMS ANALYSIS 2. 3 credits
 Prerequisite: ISE 684. Optimal control theory and system optimization tech-
niques. Statistical methods of data analysis. Estimation theory. Kalman filtering.
ISE 686-ADVANCED SYSTEMS DESIGN. 3 credits
 Prerequisites: ISE 685, ISE 671, EE 570. Application of the techniques of
operations research, control theory and systems analysis to the design of systems.
Completion of a design project.